本文整理汇总了Python中pycast.common.matrix.Matrix.to_multi_dim_timeseries方法的典型用法代码示例。如果您正苦于以下问题：Python Matrix.to_multi_dim_timeseries方法的具体用法？Python Matrix.to_multi_dim_timeseries怎么用？Python Matrix.to_multi_dim_timeseries使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pycast.common.matrix.Matrix的用法示例。
在下文中一共展示了Matrix.to_multi_dim_timeseries方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: matrix_to_multi_dim_timeseries_test
# 需要导入模块: from pycast.common.matrix import Matrix [as 别名]
# 或者: from pycast.common.matrix.Matrix import to_multi_dim_timeseries [as 别名]
def matrix_to_multi_dim_timeseries_test(self):
"""Test to create a Timeseries from a Matrix."""
rows = 5
cols = 3
data = [
[2.4, 4.5, 6.1],
[3.6, 3.2, 9.4],
[5.6, 3.2, 8.7],
[4.3, 7.1, 3.3],
[7.2, 9.6, 0.3]
]
mtrx = Matrix(cols, rows)
mtrx.initialize(data, True)
ts = mtrx.to_multi_dim_timeseries()
tsData = [
[0, [2.4, 4.5, 6.1]],
[1, [3.6, 3.2, 9.4]],
[2, [5.6, 3.2, 8.7]],
[3, [4.3, 7.1, 3.3]],
[4, [7.2, 9.6, 0.3]]
]
exTs = MDTS.from_twodim_list(tsData, dimensions=3)
# expecting that TimeSeries.from_twodom_list() works properly
self.assertEqual(ts, exTs)
# Changing entries of the timeseries, should not affect matrix
row = 3
ts[row] = [row, 4, 3, 1]
for col in xrange(cols):
self.assertEqual(mtrx.get_value(col, row), data[row][col])